Research Fellow in Computer vision and pattern recognition

School of Information Technology & Electrical Engineering

It is an exciting time to get involved with the School of Information Technology and Electrical Engineering, located on UQ’s St. Lucia campus. The School is ramping up its investment in teaching, research and engagement to create an inspiring, diverse and flexible workplace. The direction is backed by a bold, new strategic vision to ensure the School is at the forefront of meaningful research outcomes and pedagogy across its core impact areas of health, data, automation and energy. Boasting strong student enrolments in professionally accredited programs, combined with world-class researchers and facilities, the School is focused on strengthening its position in the global computer science and engineering communities. By attracting the brightest minds and fostering a truly innovative and collaborative work environment, the School will develop global solutions to contemporary issues and mentor the leaders of tomorrow.

The School recognises and values equity and diversity, and encourages applications from any individual who meets the requirements of this position irrespective of gender, sexuality, race, ethnicity, religion, disability, age or other protected attributes. The School strives to provide an inclusive working environment, and along with the University is committed to supporting staff with family and caring responsibilities by providing policies, programs and initiatives to help balance work and family responsibilities.

Details of the School may be accessed on its website at http://www.itee.uq.edu.au/.

The role

The successful appointee will be responsible for conducting original research within the general scope of computer vision and pattern recognition. The appointee will have access to relevant equipment including microscopes and GPU farms for deep learning experimentation and there are opportunities to work with Professor Lovell and his group who have several ARC and industry funded projects in computer vision and pattern recognition. The appointee will also assist with RHD supervision and will be expected to publish tier 1 papers in CVPR, ICCV and ECCV as well as having the ability to work with industry and research collaborators.

The person

You should have a PhD in the area of Engineering, Computer Science, or an equivalent discipline. Demonstrated expert knowledge in Computer Vision and Pattern Recognition, strong skills in computer programming including MATLAB, Pyton, C++ and the ability to  effectively supervise research higher degree students is essential. Knowledge of Deep Learning Techniques is highly desirable.

The University of Queensland values diversity and inclusion.

Applications are particularly encouraged from Aboriginal and Torres Strait Islander peoples.

Applications are also encouraged from women.

Remuneration

This is a full-time, fixed term appointment for 3 years at Research Academic level B. The remuneration package will be in the range $92,142 - $109,419 p.a., plus employer superannuation contributions of up to 17% (total package will be in the range $107,807 - $128,020 p.a.).

Enquiries

To discuss this role please contact Professor Brian Lovell on +61 7 33654134 or lovell@itee.uq.edu.au

To submit an application for this role, use the Apply button below.

Reference: 501489